Technical efficiency of provincial public healthcare in South Africa

The efficiency evaluation of traditional Chinese medicine hospitals by data envelopment analysis in Zhengzhou, China

Aim

This study aimed to evaluate the operational efficiency of traditional Chinese medicine (TCM) hospitals in China.

Methods

Pearson's analysis was used to test the correlation between the input and output variables. Data envelopment analysis (DEA) was utilized to analyze the input and output variables of 16 TCM hospitals, and each hospital efficiency score was computed by Deap 2.1, assuming variable return to scale (VRS), which is an input-oriented model. t tests were conducted to confirm the significant difference of efficiency scores at the hospital level and by hospital type, and ANOVA was used to test for significant differences in efficiency scores according to hospitals' size.

Results

The correlation coefficient of the input and output indicators was between 0.613 and 0.956 (p < 0.05). The difference in number of doctors (ND) and numbers of pharmacists (NP) were statistically significant (p < 0.05) at the hospital level. The mean efficiency scores for technical efficiency (TE), pure technical efficiency (PTE), and scale efficiency (SE) in secondary TCM hospitals were 0.766, 0.919, and 0.838, respectively. Additionally, the lowest TE, PTE, and SE were 0.380, 0.426, and 0.380, respectively. Eight TCM hospitals in this study were DEA efficient, with an efficiency score of 1. There were no statistically significant differences in TE, PTE, and SE among hospital levels, hospital types or hospital sizes groups (p > 0.05).

Conclusion

This study revealed that tertiary TCM hospitals had a greater level of efficiency than secondary TCM hospitals. In our study, 50% of TCM hospitals had inefficient management. Therefore, to activate the new development power of TCM hospitals, it is necessary to reform and improve the management system and mechanism of TCM hospitals, optimize the development environment of TCM hospitals and formulate development plans and measures based on local conditions.

Efficiency evaluation, regional technological heterogeneity and determinant of total factor productivity change in China's healthcare system

Enhancing efficiency and productivity in countries' healthcare systems is a global challenge. The Chinese government invested huge resources to improve the efficiency and productivity of the healthcare system across the country. To assess the success of the mission above, this research utilized DEA-SBM Meta frontier analysis alongside the Malmquist Productivity Index. These methodologies were employed to gauge Efficiency, production technology heterogeneity, and productivity of healthcare systems change across 31 mainland Chinese provinces and four distinct geographical regions throughout the study period spanning from 1997 to 2022. Results revealed that the mean efficiency score of China's healthcare system is 0.7672. It indicates a growth potential of 23.28 percent in the operational efficiency of healthcare systems. The eastern region's efficiency level (0.86917) is higher among all four regions. Zhejiang, Shandong, and Guangdong are the top three healthcare-efficiency performers. The technology gap ratio indicates that eastern regions witnessed a high TGR (0.9909), showing the country's attainment of superior healthcare technologies. Beijing, Guangdong, Shanghai, Tianjin, and Zhejiang witnessed higher TGR values among all 31 mainland Chinese provinces. The total factor productivity index of the healthcare system witnessed a slight growth of 0.33%, with an average MI score of 1.0033. Efficiency change (EC) was found to be the main determinant of TFPC as technology change TC is less than EC. Moreover, the MI score of the Western region (1.033) is higher than the corresponding Eastern, northeastern, and central regions. Guizhou, Anhui, and Yunnan were found to be the top three performers in TFPC growth. Finally, the Kruskal-Wallis test confirmed the statistically significant difference among 4 Chinese regions for the healthcare system's efficiency, TFPC, and TGR.

Availability and pricing of insulin and related diagnostics in South Africa

Background

In South Africa (SA), most patients rely on the government for free healthcare. Some choose to subscribe to a medical insurance scheme. If insulin is unavailable in government or otherwise unaffordable, non-adherence may occur, which can increase complications of the disease.

Methods

Data on availability and pricing of insulin and related diagnostics was collected from SA pharmacies via an online survey. Co-payments levied on insulin by the biggest medical aids were extracted from formularies. Affordability of these items was then assessed. An adapted methodology from the World Health Organization/Health Action International tool was used.

Results

There was fairly high availability of insulin in the public sector, with the exception of long-acting insulin which respondents claimed was difficult to find; however, long-acting insulin glargine was available in most private sector pharmacies. Point-of-care (POC) blood glucose testing was free in the public sector but offered in only 31.25% of pharmacies. Patients pay a minimum of USD 40.4 (over 3 days' wages for the lowest paid government worker (LPGW)) for a months' supply of the cheapest insulin, needles and test strips. Insulin in SA was cheaper than 5 other countries, except Australia.

Conclusion

Overall, there is a good availability of insulin and related diagnostics in SA. Even though insulin is cheaper than other countries, it is unaffordable to the LPGW. This highlights the importance of ensuring a constant availability of insulin in the free public sector. Whilst human insulins are cheaper than newer analogue insulins and SA faces cost constraints, important variables in favour of newer insulins, such as ease-of-use, long term outcomes and value should be considered when treatment guidelines are updated. Annual POC testing should be available and offered free to all patients to detect diabetes early.

Fiscal space for the immunisation program in Zambia- an efficiency analysis approach

OBJECTIVE

The immunisation programme in Zambia remains one of the most effective public health programmes. Its financial sustainability is, however, uncertain. Using administrative data on immunisation coverage rate, vaccine utilisation, the number of health facilities and human resources, expenditure on health promotion, and the provision of outreach services from 24 districts, we used Data Envelopment Analysis to determine the level of technical efficiency in the provision of immunisation services. Based on our calculated levels of technical efficiency, we determined the available fiscal space for immunisation.

RESULTS

Out of the 24 districts in our sample, 9 (38%) were technically inefficient in the provision of immunisation services. The average efficiency score, however, was quite high, at 0.92 (CRS technology) and 0.95 (VRS technology). Based on the calculated level of technical efficiency, we estimated that an improvement in technical efficiency can save enough vaccine doses to supply between 5 and 14 additional districts. The challenge, however, lies in identifying and correcting for the sources of technical inefficiency.

Exploring disaster preparedness in an obstetric unit in a district hospital in the Western Cape Province

BACKGROUND

Research on disaster preparedness in public hospitals is limited, and specialised units such as obstetric departments need to be even more prepared when rendering health care to vulnerable populations. Disasters can be natural, such as floods due to human interventions, sinkholes due to mining, or pandemic occurrences, such as the recent COVID-19 pandemic. Research on disaster preparedness is limited, and even more so in specialised units such as obstetrics and evacuating a ward of maternal and neonatal patients present unique challenges. Being prepared for any disaster is the only assurance of effective patient healthcare during a disaster. This study explored and described nurses' knowledge and attitudes regarding preparedness for a disaster in an obstetric unit in a public institution. The study aimed to make recommendations to improve disaster preparedness in an obstetric ward based on the nurses' knowledge and attitudes.

METHODS

This study utilised an exploratory, descriptive qualitative design within a contextual approach. The data were acquired through individual interviews that were done using a semi-structured interview schedule. An observational walkabout was performed with the unit manager to validate interviewee responses. The study employed purposive sampling with a sample size of 17 nurses (N = 32, n = 17) and a response rate of 53%. The interviews were transcribed verbatim, and later, the data underwent analysis using theme analysis and a co-coder.

RESULTS

The results indicate that the participants demonstrate an awareness of disaster terminology but need more assertiveness in executing the institutional disaster policy. The results illustrate that more frequent training, disaster rehearsals, and simulations should be implemented to improve disaster readiness. Strategies are recommended to enhance preparedness for a disaster in the obstetric unit.

CONCLUSION

The study findings recommend more education and training opportunities that should be regularly instilled as a practice within the obstetric ward. More disaster drills and simulation exercises should be performed to ensure confidence in disaster preparedness. Obstetric staff of all levels should be involved with policymaking and disaster plan development.

Assessing equity and efficiency of health financing towards universal health coverage between regions in Tanzania

Equity and efficiency in health financing are intermediate universal health coverage (UHC) objectives. While there is growing attention to monitoring these goals at the national level, subnational assessment is also needed to uncover potential divergences across subnational units. We assessed whether health funds were allocated or contributed equitably and spent efficiently across 26 regions in Tanzania in 2017/18 for four sources of funding. Government and donor health basket fund (HBF) expenditure data were obtained from government authorities. Household contributions to health insurance and out-of-pocket payments were obtained from the national household budget survey. We used the Kakwani index (KI) to measure regional funding equity, whereby regional GDP per capita measured regional economic status. Efficiency analysis included four financing inputs and two UHC outputs (maternal health service coverage and financial protection indices). Data envelopment analysis estimated efficiency scores. There was substantial variation in per capita regional funding, especially in insurance contributions (TZS 473-13,520), and service coverage performance (49-86.3%). There was less variation in per capita HBF spending (TZS 1294-2394) and financial protection (93.5-99.4%). Government spending (KI: -0.047, p = 0.348) was proportional to regional economic status; but HBF spending (KI: -0.195, p < 0.001) was significantly progressive (equitably distributed), being targeted to regions with high economic need (poor). The burden of contributing to social health insurance (NHIF) was proportional (KI: 0.058, p = 0.613), while the burden of paying for community-based insurance (CHF, KI: -0.152, p=0.012) and out-of-pocket payments (KI: -0.187, p=0.005) was higher among the poor (regressive). The average efficiency score across regions was 90%, indicating that 90% of financial resources were used optimally, while 10% were wasted or underutilised. Tanzania should continue mobilising domestic resources for health towards UHC, and reduce reliance on inequitable out-of-pocket payments and community-based health insurance. Policymakers must enhance resource allocation formulas, public financial management, and sub-national resource tracking to improve equity and efficiency in resource use.

Research on the Operational Efficiency of Basic Medical Insurance for Urban Employees in China-Based on Three-Stage DEA Model

Purpose

To conduct a three-stage data envelopment analysis (DEA) of the operational efficiency of urban employee basic medical insurance (UEBMI) across 31 provinces in China from 2012 to 2021.

Methods

Utilized a three-stage DEA model, this study measured and evaluated the operational efficiency of urban employee basic medical insurance within China's 31 provinces.

Results

The operational efficiency of urban employee basic medical insurance in China was notably low, displaying significant disparities across different regions and periods. Substantial room for improvement exists. Environmental factors, including urbanization level and unemployment rate, wielded a pronounced influence on the operational efficiency of China's employee medical insurance. Conversely, the fiscal revenue and expenditure ratio hindered the enhancement of employee medical insurance efficiency.

Conclusion

This study held valuable insights for enhancing the operational efficiency of China's urban employee basic medical insurance. To effectively improve insurance efficiency, the following recommendations are put forth: firstly, relevant departments should escalate resource investments and optimize resource utilization based on rational allocation; secondly, enhance legislation and regulations, fortify fund oversight, and ensure equitable and judicious utilization of the medical insurance fund; finally, leveraging modern high-tech advancements can comprehensively elevate the operational efficiency of the employee medical insurance fund. Ultimately, with the advent of cutting-edge technology, the operational efficiency of employee medical insurance fund can be comprehensively elevated.

The state and significant drivers of health systems efficiency in Africa: A systematic review and meta-analysis

Background

Low-and-middle-income countries, especially in Africa, lack the capacity to adequately invest in health systems to attain universal health coverage (UHC). As such, countries must improve efficiency and provide more services within the available resources. This systematic review synthesised evidence on the efficiency of health systems in the African region and its drivers.

Methods

We conducted a systematic literature review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement. Related studies were grouped and meta-analysed, while others were descriptively analysed. We employed a qualitative content synthesis for synthesising the drivers of efficiency.

Results

Overall, 39 studies met a predetermined inclusion criterion and were included from a possible 4 609 records retrieved through a rigorous search and selection process. Using a random effects restricted maximum likelihood method, the pooled efficiency score for the Africa region was estimated to be 0.77, implying that on the flip side, health system inefficiency across countries in the African region was approximately 23%. Across 22 studies that used data envelopment analysis to examine efficiency at the level of health facilities and sub-national entities, the efficiency level was 0.67. Facility-level studies tended to estimate low levels of efficiency compared to health system-level studies. Across the 39 studies, 21 significant drivers of inefficiency were reported, including population density of the catchment area, governance, health facility ownership, health facility staff density, national economic status, type of health facility, education index, hospital size and bed occupancy rate.

Conclusion

With approximately 23% of the inefficiency of health systems in Africa, improving efficiency alone will yield an average of 34% improvement in resource availability, assuming all countries are performing similarly to the frontier countries. However, with the low level of health expenditure per capita in Africa, the efficiency gains alone will be insufficient to meet the minimum funding requirement for UHC.

Registration

PROSPERO: CRD42022318122.

Hepatitis B infection status among South Africans attending public health facilities over a five-year period: 2015 to 2019

Hepatitis B, a potentially life-threatening viral infection of the liver, remains a global public health concern despite the availability of effective vaccines for over three decades. The aim of our study was to provide national data on active hepatitis B infections in the public health sector of South Africa. We conducted retrospective analyses on national laboratory data over the period 2015 to 2019. We identified 176,530 cases who tested positive for HBsAg (active infection) with a test positivity rate of 9.02%. Of these active infections, 11,355 (6.43%) were found to be chronically infected. We linked 24,839 (14.07%) and 2,461 (21.67%) HBeAg positive results to all active HBV infections and identified chronic infections respectively. Clearance of HBsAg was observed in 5,569 cases, inclusive of clearance in 135 chronic cases. Active HBV infections were significantly higher in men than women over the five years (p < 0.0001). Among individuals who were vaccine-eligible as infants (0 to 19 years old), we observed 4,981 active HBV infections, including 1,131 infections under five years old, majority of which (65.78%) were under one year old. In the under five-year age group, the HBsAg population positivity rate was 0.02% and test positivity rate was 4.83%. Among all women with active HBV infections (78,935), 85.17% were of reproductive age and of these, 13.73% were HBeAg positive. Without a birth dose of the HBV vaccine, lack of routine HBsAg screening at antenatal care, and HBsAg and HBeAg prevalence among women of reproductive age, it is likely that the majority of cases under five years old were vertically infected. Optimal HBV vaccine coverage, inclusive of a birth dose, is key to eliminating horizontal and vertical transmission of HBV. Early identification of HBV chronicity through real time data analysis is fundamental in reducing the risk of liver cirrhosis and hepatocellular carcinoma.

Intervention development of 'Diabetes Together' using the person-based approach: a couples-focused intervention to support self-management of type 2 diabetes in South Africa

OBJECTIVES

Type 2 diabetes (T2D) is a growing concern in South Africa, where many find self-management challenging. Behaviour-change health interventions are enhanced by involving partners of patients. We aimed to develop a couples-focused intervention to improve self-management of T2D among adults in South Africa.

DESIGN

We used the person-based approach (PBA): synthesising evidence from existing interventions; background research; theory; and primary qualitative interviews with 10 couples to ascertain barriers and facilitators to self-management. This evidence was used to formulate guiding principles that directed the intervention design. We then prototyped the intervention workshop material, shared it with our public and patient involvement group and ran iterative co-discovery think-aloud sessions with nine couples. Feedback was rapidly analysed and changes formulated to improve the intervention, optimising its acceptability and maximising its potential efficacy.

SETTING

We recruited couples using public-sector health services in the area of Cape Town, South Africa, during 2020-2021.

PARTICIPANTS

The 38 participants were couples where one person had T2D.

INTERVENTION

We developed the 'Diabetes Together' intervention to support self-management of T2D among couples in South Africa, focussing on: improved communication and shared appraisal of T2D; identifying opportunities for better self-management; and support from partners. Diabetes Together combined eight informational and two skills-building sections over two workshops.

RESULTS

Our guiding principles included: providing equal information on T2D to partners; improving couples' communication; shared goal-setting; discussion of diabetes fears; discussing couples' roles in diabetes self-management; and supporting couples' autonomy to identify and prioritise diabetes self-management strategies.Participants viewing Diabetes Together valued the couples-focus of the intervention, especially communication. Feedback resulted in several improvements throughout the intervention, for example, addressing health concerns and tailoring to the setting.

CONCLUSIONS

Using the PBA, our intervention was developed and tailored to our target audience. Our next step is to pilot the workshops' feasibility and acceptability.

Prevalence of secondary health conditions and mental status in persons with long-term spinal cord injury in South Africa: Comparison between public and private healthcare sectors

BACKGROUND

Spinal cord injuries typically result in a range of negative health outcomes and health states, which impacts overall functioning, health and well-being. It remains important to establish the prevalence (burden) of health outcomes to help with the development of optimal treatment strategies.

OBJECTIVES

To determine the prevalence and treatment rates of secondary health conditions (SHCs) and mental health states in persons with long-term spinal cord injury (SCI) receiving public compared with private healthcare services in South Africa.

METHODS

A cross-sectional survey included 200 community-dwelling persons with long-term SCI, 60% with paraplegia, 53% with complete injuries and 156 from the public and 44 from private healthcare sectors. The following modules of the International Spinal Cord Injury (InSCI) community survey were used: (i) demographic and injury characteristics; (ii) SHCs and treatment rates; and (iii) vitality and emotional well-being. All statistical analyses were stratified according to healthcare sector.

RESULTS

Pain (47% v. 57), sexual dysfunction (59% v. 41%) and muscle spasms (54% v. 43%) were the most common SHCs in both cohorts, and the period prevalence was significantly higher for sleeping problems (41% v. 25%), sexual dysfunction (59% v. 41%) and contractures (42% v. 20%) in the public compared with the private cohort. Persons with SCI in the private cohort received treatment more often for sleeping problems (100% v. 45%), autonomic dysreflexia (75% v. 27%) and pain (56% v. 33%) than their counterparts with public insurance. Negative mental health states were prevalent in both groups.

CONCLUSION

SHCs and negative mental health were common in persons with SCI in South Africa, while those with public insurance reporter a higher occurrence of sleep problems and contractures, as well as lower treatment rates. Overall, a need exists to better support persons with SCI in the long-term context to facilitate improved functioning and wellbeing.

The impact of persistent precarity on patients' capacity to manage their treatment burden: A comparative qualitative study between urban and rural patients with multimorbidity in South Africa

Background

People living with multimorbidity in low-and middle-income countries (LMICs) experience a high workload trying to meet the demands of self-management. In an unequal society like South Africa, many people face continuous economic uncertainty, which can impact on their capacity to manage their illnesses and lead to poor health outcomes. Using precariousness - the real and perceived impact of uncertainty - as a lens, this paper aims to identify, characterise, and understand the workload and capacity associated with self-management amongst people with multimorbidity living in precarious circumstances in urban and rural South Africa.

Methods

We conducted qualitative semi-structured interviews with 30 patients with HIV and co-morbidities between February and April 2021. Patients were attending public clinics in Cape Town (Western Cape) and Bulungula (Eastern Cape). Interviews were transcribed and data analysed using qualitative framework analysis. Burden of Treatment Theory (BoTT) and the Cumulative Complexity Model (CuCoM) were used as theoretical lenses through which to conceptualise the data.

Results

People with multimorbidity in rural and urban South Africa experienced multi-faceted precariousness, including financial and housing insecurity, dangerous living circumstances and exposure to violence. Women felt unsafe in their communities and sometimes their homes, whilst men struggled with substance use and a lack of social support. Older patients relied on small income grants often shared with others, whilst younger patients struggled to find stable employment and combine self-management with family responsibilities. Precariousness impacted access to health services and information and peoples' ability to buy healthy foods and out-of-pocket medication, thus increasing their treatment burden and reducing their capacity.

Conclusion

This study highlights that precariousness reduces the capacity and increases treatment burden for patients with multimorbidity in low-income settings in South Africa. Precariousness is both accumulative and cyclic, as financial insecurity impacts every aspect of peoples' daily lives. Findings emphasise that current models examining treatment burden need to be adapted to accommodate patients' experiences in low-income settings and address cumulative precariousness. Understanding treatment burden and capacity for patients in LMICs is a crucial first step to redesign health systems which aim to improve self-management and offer comprehensive person-centred care.

Outcomes for children and adolescents with Juvenile idiopathic arthritis addressed by occupational therapy services in specialist rheumatology clinics in South Africa

Introduction:

International guidelines for best practice indicate specialised treatment is required for Juvenile idiopathic arthritis (JIA). While occupational therapy intervention for functional limitations in this chronic condition is conditionally recommended, the extent to which this is provided in public specialist rheumatology clinics in South Africa is unknown. The aim of this study was to determine which needs related to outcomes for occupational performance or functional status, condition-related factors and health-related quality of life, reported by children and adolescents with JIA were addressed by current occupational therapy services.

Methods:

The study used two descriptive, quantitative studies with limited samples of 37 clients with JIA attending specialist rheumatology clinics and nine occupational therapists who currently provide intervention for clients with JIA.

Results:

Functional deficits reported by 30–63% of clients with JIA were increased symptoms of active disease and difficulties with school activities. Occupational therapy services addressed condition-related factors and participation in personal management but not many related to the social, educational and psychosocial needs of clients with JIA.

Conclusion:

Occupational therapy services followed international guidelines but based on the reductionist biomedical model approach used within specialist services in tertiary hospitals, which limit context-based therapy for children and adolescents with JIA in the community.

Analysing the Efficiency of Health Systems: A Systematic Review of the Literature

BACKGROUND

Efficiency refers the use of resources in ways that optimise desired outcomes. Health system efficiency is a priority concern for policy makers globally as countries aim to achieve universal health coverage, and face the additional challenge of an aging population. Efficiency analysis in the health sector has typically focused on the efficiency of healthcare facilities (hospitals, primary healthcare facilities), with few studies focusing on system level (national or sub-national) efficiency. We carried out a thematic review of literature that assessed the efficiency of health systems at the national and sub-national level.

METHODS

We conducted a systematic search of PubMed and Google scholar between 2000 and 2021 and a manual search of relevant papers selected from their reference lists. A total of 131 papers were included. We analysed and synthesised evidence from the selected papers using a thematic approach (selecting, sorting, coding and charting collected data according to identified key issues and themes).

FINDINGS

There were more publications from high- and upper middle-income countries (53%) than from low-income and lower middle-income countries. There were also more publications focusing on national level (60%) compared to sub-national health systems' efficiency. Only 6% of studies used either qualitative methods or mixed methods while 94% used quantitative approaches. Data envelopment analysis, a non-parametric method, was the most common methodological approach used, followed by stochastic frontier analysis, a parametric method. A range of regression methods were used to identify the determinants of health system efficiency. While studies used a range of inputs, these generally considered the building blocks of health systems, health risk factors, and social determinants of health. Outputs used in efficiency analysis could be classified as either intermediate health service outputs (e.g., number of health facility visits), single health outcomes (e.g., infant mortality rate) or composite indices of either intermediate outputs of health outcomes (e.g., Health Adjusted Life Expectancy). Factors that were found to affect health system efficiency include demographic and socio-economic characteristics of the population, macro-economic characteristics of the national and sub-national regions, population health and wellbeing, the governance and political characteristics of these regions, and health system characteristics.

CONCLUSION

This review highlights the limited evidence on health system efficiency, especially in low- and middle-income countries. It also reveals the dearth of efficiency studies that use mixed methods approaches by incorporating qualitative inquiry. The review offers insights on the drivers of the efficiency of national and sub-national health systems, and highlights potential targets for reforms to improve health system efficiency.

Health managers and community representatives' views of a system-wide intervention to strengthen public healthcare in the Free State, South Africa

Background

A system-wide health system strengthening (HSS) initiative, the Health Systems Governance and Accountability (HSGA) intervention, was developed, translated to policy, and implemented in the Free State province. This study assessed health managers (HMs) and community representatives' (CRs) views of the intervention and whether it improved integration and performance.

Method

A questionnaire survey among 147 HMs and 78 CRs and 14 focus group discussions (FGDs) with a mean of 10.3 participants and a total of 102 HMs and 42 CRs, were conducted. The questionnaire and FGD data were descriptively and thematically analysed to triangulate findings.

Results

Many HMs (44%) mostly positioned at the operational levels indicated that implementation of the HSGA intervention did contribute to integration of health services. Most CRs (54%) believed that communities were actively involved in the intervention. However, both the self-administered questionnaire and the FGD data evidenced lack of policy awareness among, especially, operational-level HMs.

Conclusion

From the perspectives of HMs and CRs, the implementation of the intervention was viewed as a step forward in strengthening public healthcare to respond to system deficiencies in the Free State province. Earlier engagement of especially operational-level HMs during reforms may be beneficial in successfully implementing HSS interventions.

Measuring the efficiency of public hospitals: A multistage data envelopment analysis in Fujian Province, China

Objective

The present study aimed to evaluate the operational efficiency of public hospitals in Fujian Province and the factors responsible for the inefficiency of these hospitals and provide relevant suggestions for health policymakers in allocating service resources.

Method

In the first stage of the research, the variables affecting the efficiency of hospitals were extracted by qualitative and quantitative methods, including literature optimization, gray related analysis and gray clustering evaluation. In the second stage, the data envelopment analysis (DEA) method was used to evaluate the operational efficiency of 49 hospitals of different levels and types selected by sampling in 2020. Finally, a Tobit regression model with introduced institutional factors and background factors was established to study the main influencing factors of hospital inefficiency.

Results

In the first stage, 10 input variables and 10 output variables necessary from the mangers' point of view were identified to test efficiency. In the second stage, the average comprehensive TE, PTE, and SE of 49 sample hospitals was 0.802, 0.888, and 0.902, respectively. 22.45% of these hospitals met the effective criteria, i.e., the overall effective rate was 22.45%. The low SE value of the hospital was the main reason hindering the improvement of the comprehensive efficiency value. The overall effective rate of secondary public hospitals (30.77%) was higher than that of tertiary public hospitals (19.44%), and the overall effective rate of public specialized hospitals (30%) was higher than that of general public hospitals (18.92%). Based on the third stage results, the bed occupancy rate (BOR) and the proportion of beds (POB) were major factors affecting the operation efficiency of grade III hospitals (p < 0.01). However, the operating efficiency of grade II hospitals was significantly affected by POB and regional per capita GDP(GDPPC) (p < 0.05). Moreover, the impact of BOR and GDPPC was positive, and POB was negatively correlated with hospital operation efficiency.

Conclusions

The study results indicated that the overall operation efficiency of public hospitals in Fujian Province is low. This study revealed that intervention should be strengthened from a policy and management perspective to improve the operation efficiency of public hospitals.

Rehabilitation and primary care treatment guidelines, South Africa

The World Health Organization recognizes rehabilitation as an essential component of universal health coverage (UHC). In many countries, UHC builds on a standard benefits package of services that is informed by the country’s essential medicines list, standard treatment guidelines and primary health care essential laboratory list. In South Africa, primary health care is largely provided and managed by primary health-care nurses and medical officers in accordance with primary health care standard treatment guidelines. However, rehabilitation is mostly excluded from these guidelines. This paper describes the 10-year process that led to rehabilitation referral recommendations being considered for inclusion in South Africa’s primary health care standard treatment guidelines. There were five key events: (i) a breakthrough moment; (ii) producing a scientific evidence synthesis and formulating recommendations; (iii) presenting recommendations to the national essential medicines list committee; (iv) mapping rehabilitation recommendations onto relevant treatment guideline sections; and (v) submitting revised recommendations to the committee for final consideration. The main lesson learnt is that, by working together, rehabilitation professionals can be of sufficient number to make a difference, improve service delivery and increase referrals to rehabilitation from primary health care. A remaining challenge is the lack of a rehabilitation representative on the national essential medicines list committee, which could hamper understanding of rehabilitation and of the complexities of the supporting evidence.

Analysis of the Operational Efficiency of Basic Medical Insurance for Urban and Rural Residents: Based on a Three-Stage DEA Model

Following the integration of the urban residents' medical insurance into the new rural cooperative medical insurance in 2016, China has now formed a basic medical insurance system with the urban workers' basic medical insurance system and the rural residents' basic medical insurance system as the main entities. With the development of basic medical insurance, the protection for residents is becoming more and more comprehensive, and its fund expenditure also increases, so it is necessary to research the efficiency of the medical insurance fund expenditure. This paper conducts a three-stage DEA analysis of the efficiency of basic health insurance for urban and rural residents in 31 provinces, based on a Chinese panel data from 2017 to 2020. It is found that China's health insurance operation is still in the development stage, with four regions in the efficiency frontier and Guizhou province having the lowest efficiency value nationwide. The GDP and fiscal investment on social security effectively reduce the input redundancy in the basic health insurance operation, which contributes to the efficiency of the health insurance operation. This study further proposes suggestions and countermeasures to improve the operational efficiency of China's basic health insurance, based on the empirical results: (1) develop the economy and broaden the financing sources; (2) improve the level of health care services and improve the efficiency driven by quality; and (3) improve the level of health insurance supervision through multiple measures.

Using PhotoVoice to understand mindfulness in health care practitioners

Background

The disruptions of the coronavirus disease 2019 (COVID-19) pandemic have placed added stress on health care practitioners’ (HCPs) mental health. Mindfulness-based interventions (MBIs) have been reported to increase the awareness of burnout and promote self-care practices that enhance mental well-being.

Aim

To gain insight into the use of mindfulness through the lens of PhotoVoice on how HCPs reflected on their stressors and sense of self whilst working as frontline workers during the COVID-19 pandemic.

Setting

This study was conducted online with HCPs working in South Africa during the first wave of COVID-19.

Method

A four-week MBI intervention was implemented using Zoom. An exploratory qualitative analysis was conducted using a PhotoVoice methodology. Interpretative phenomenological analysis was used to generate themes. Fifty-five HCPs consented to participate in this study.

Results

The major themes identified were operating on autopilot, feeling a sense of overwhelm because of COVID-19, using faith to cope and being able to attain a sense of self-compassion by the end of the intervention.

Conclusions

Using visual representations, HCPs were able to share the development of their reperceived lived experiences of increased self-compassion as they navigated the dilemmas and disruptions of the pandemic.

Contribution

A brief online MBI was impactful enough to show a reappraisal of the stressors of COVID-19, such that HCPs felt calmer, more competent and more compassionate. PhotoVoice methodology is recommended for future studies and mindfulness courses. It facilitates a deeper understanding of the practice of imbuing mindfulness and its impact on stressors and the self.

The Core of Healthcare Efficiency: A Comprehensive Bibliometric Review on Frontier Analysis of Hospitals

Parametric and non-parametric frontier applications are typical for measuring the efficiency and productivity of many healthcare units. Due to the current COVID-19 pandemic, hospital efficiency is the center of academic discussions and the most desired target for many public authorities under limited resources. Investigating the state of the art of such applications and methodologies in the healthcare sector, besides uncovering strategical managerial prospects, can expand the scientific knowledge on the fundamental differences among efficiency models, variables and applications, drag research attention to the most attractive and recurrent concepts, and broaden a discussion on the specific theoretical and empirical gaps still to be addressed in future research agendas. This work offers a systematic bibliometric review to explore this complex panorama. Hospital efficiency applications from 1996 to 2022 were investigated from the Web of Science base. We selected 65 from the 203 most prominent works based on the Core Publication methodology. We provide core and general classifications according to the clinical outcome, bibliographic coupling of concepts and keywords highlighting the most relevant perspectives and literature gaps, and a comprehensive discussion of the most attractive literature and insights for building a research agenda in the field.

Experiences and views of clinical psychologists working in non-urban areas of KwaZulu-Natal, South Africa

The process of integrating mental health care into primary health care remains slow in many non-urban areas of low to middle-income countries. The present study explored clinical psychologists’ experiences of working in non-urban areas of KwaZulu-Natal to assess the progress of integrating mental health into primary health care. Twenty-nine clinical psychologists participated in this study and provided input on the following areas: clinical psychologists’ preparedness, through training, to work in resource-constrained non-urban areas; availability of mental health resources; and understanding of the clinical psychologists’ role in their work context. Over half (51.7%) of the participants reported that their training did not prepare them to work in resource-constrained non-urban areas and more than two-thirds (72.4%) reported a lack of basic resources needed for optimal mental health care in non-urban areas of KwaZulu-Natal. The findings reflect the need for comprehensive training of clinical psychologists to enhance their competency and confidence to work in resource-constrained settings. Furthermore, investment in the promotion of clinical psychology services and more conducive mental health service environments is necessary.

Level and determinants of county health system technical efficiency in Kenya: two stage data envelopment analysis

BACKGROUND

Improving health system efficiency is a key strategy to increase health system performance and accelerate progress towards Universal Health Coverage. In 2013, Kenya transitioned into a devolved system of government granting county governments autonomy over budgets and priorities. We assessed the level and determinants of technical efficiency of the 47 county health systems in Kenya.

METHODS

We carried out a two-stage data envelopment analysis (DEA) using Simar and Wilson's double bootstrap method using data from all the 47 counties in Kenya. In the first stage, we derived the bootstrapped DEA scores using an output orientation. We used three input variables (Public county health expenditure, Private county health expenditure, number of healthcare facilities), and one outcome variable (Disability Adjusted Life Years) using 2018 data. In the second stage, the bias corrected technical inefficiency scores were regressed against 14 exogenous factors using a bootstrapped truncated regression.

RESULTS

The mean bias-corrected technical efficiency score of the 47 counties was 69.72% (95% CI 66.41-73.01%), indicating that on average, county health systems could increase their outputs by 30.28% at the same level of inputs. County technical efficiency scores ranged from 42.69% (95% CI 38.11-45.26%) to 91.99% (95% CI 83.78-98.95%). Higher HIV prevalence was associated with greater technical inefficiency of county health systems, while higher population density, county absorption of development budgets, and quality of care provided by healthcare facilities were associated with lower county health system inefficiency.

CONCLUSIONS

The findings from this analysis highlight the need for county health departments to consider ways to improve the efficiency of county health systems. Approaches could include prioritizing resources to interventions that will reduce high chronic disease burden, filling structural quality gaps, implementing interventions to improve process quality, identifying the challenges to absorption rates and reforming public finance management systems to enhance their efficiency.

Efficiency and Productivity of Public Hospitals in Serbia Using DEA-Malmquist Model and Tobit Regression Model, 2015-2019

Improving productivity within health systems using limited resources is a matter of great concern. The objectives of the paper were to evaluate the productivity, efficiency, and impact of environmental factors on efficiency in Serbian hospitals from 2015-2019. Data envelopment analysis, Malmquist index and Tobit regression were applied to hospital data from this period, and public hospitals in Serbia exhibited a great variation regarding their capacity and performance. Between five and eight hospitals ran efficiently from 2015 to 2019, and the productivity of public hospitals increased whereas technical efficiency decreased in the same period. Tobit regression indicated that the proportion of elderly patients and small hospital size (below 200 beds) had a negative correlation with technical efficiency, while large hospital size (between 400 and 600 beds), the ratio of outpatient episodes to inpatient days, bed turnover rate and the bed occupation rate had a positive correlation with technical efficiency. Serbian public hospitals have considerable space for technical efficiency improvement and public action must be taken to improve resource utilization.

The power struggle: exploring the reality of clinical reasoning

PURPOSE

Historically, clinical reasoning has largely been considered from an empirical, biomedical standpoint. This epistemology, rooted in imperial rule, is influential in how healthcare practitioners practice. An empirical approach to healthcare often oversimplifies the complex nature of clinical reasoning by obscuring the influence of imperial ideologies on decision-making. This can perpetuate inequitable approaches to healthcare delivery which deepen social, political and economic divides globally. This paper aims to explore and challenge this standpoint by exploring how power, imperialism and performativity influences healthcare provision and decision-making amongst healthcare practitioners in dysphagia rehabilitation.

METHODS

Qualitative exploratory interviews were undertaken with seven South African trained SLPs with experience working in dysphagia. To allow for participation and collaboration from participants, three data collection tools were employed within the interviews: oral histories, cognitive mapping and arts-based tasks. An initial modified thematic analysis followed by a further ideological analysis were undertaken to analyse the data collected.

RESULTS

The results suggest that the participants felt influenced by several manifestations of power within healthcare. We argue that this demonstrates that imperial practices can influence knowledge, interaction and context and therefore affect how healthcare practitioners make decisions.

CONCLUSION

By acknowledging the impact of imperialism and power dynamics on healthcare provision and clinical reasoning we can potentially begin to transform the epistemology from which we approach healthcare provision in favour of one which is better suited to the current realities of healthcare to allow for equitable service provision.

Performance analysis of Indian states based on social–economic infrastructural investments using data envelopment analysis

Purpose

This study investigates the performance of Indian states based on infrastructural investment in social and economic sectors using data envelopment analysis (DEA). Most of the studies in the literature are based on how different elements of infrastructure such as transport, energy, education, healthcare system affect the economy of different countries/regions. In this study, we consider these elements under two different sub-systems, namely, social and economic infrastructure and measure the cooperative efficiency for competitive growth.

Design/methodology/approach

A four-stage DEA approach is proposed for the analysis of a sample of 28 Indian states for the years 2011, 2013 and 2015 under consideration. First stage calculates the per capita GDP contribution, while stage-2 evaluates the efficiency of investments in social infrastructure followed by the efficiency analysis in economic infrastructure in stage-3. Finally, fourth stage evaluates the co-operative efficiency for the overall performance.

Findings

The findings of three different cases based on population sizes, viz., highly populated, moderately populated and less populated regions suggest that the government can identify the top and poor performers. It also studies the variations in efficiency tally of states using Malmquist indices.

Practical implications

This kind of study will vigilant government and local authorities on the investments made in all the states for social and economic infrastructure and establish a competitive environment among state governments to compete for improved infrastructural growth.

Originality/value

This study is the first of its kind in developing countries like India, which focuses on efficiency analysis using DEA based on two sub-sectors of social–economic infrastructural investments.

Can integrated care improve the efficiency of hospitals? Research based on 200 Hospitals in China

Background

The shift towards integrated care (IC) represents a global trend towards more comprehensive and coordinated systems of care, particularly for vulnerable populations, such as the elderly. When health systems face fiscal constraints, integrated care has been advanced as a potential solution by simultaneously improving health service effectiveness and efficiency. This paper addresses the latter. There are three study objectives: first, to compare efficiency differences between IC and non-IC hospitals in China; second, to examine variations in efficiency among different types of IC hospitals; and finally, to explore whether the implementation of IC impacts hospital efficiency.

Methods

This study uses Data Envelopment Analysis (DEA) to calculate efficiency scores among a sample of 200 hospitals in H Province, China. Tobit regression analysis was performed to explore the influence of IC implementation on hospital efficiency scores after adjustment for potential confounding. Moreover, the association between various input and output variables and the implementation of IC was investigated using regression techniques.

Results

The study has four principal findings: first, IC hospitals, on average, are shown to be more efficient than non-IC hospitals after adjustment for covariates. Holding output constant, IC hospitals are shown to reduce their current input mix by 12% and 4% to achieve optimal efficiency under constant and variable returns-to-scale, respectively, while non-IC hospitals have to reduce their input mix by 26 and 20% to achieve the same level of efficiency; second, with respect to the efficiency of each type of IC, we show that higher efficiency scores are achieved by administrative and virtual IC models over a contractual IC model; third, we demonstrate that IC influences hospitals efficiency by impacting various input and output variables, such as length of stay, inpatient admissions, and staffing; fourth, while bed density per nurse was positively associated with hospital efficiency, the opposite was shown for bed density per physician.

Conclusions

IC has the potential to promote hospital efficiency by influencing an array of input and output variables. Policies designed to facilitate the implementation of IC in hospitals need to be cognizant of the complex way IC impacts hospital efficiency.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12962-021-00314-3.

Efficiency of COVID-19 Testing Centers in Iran: A Data Envelopment Analysis Approach

OBJECTIVE

The purpose of this study is to investigate the efficiency of the Iranian Red Crescent Society (IRCS) in managing their nonmonetary resources involved in coronavirus disease 2019 (COVID-19) response.

METHODS

For this purpose, the data envelopment analysis approach was used to measure the efficiency, considering the number of personnel and vehicles and screened passengers as the input and output parameters, respectively. It was examined the efficiency of 10 IRCS's branches given 17 d of screening operation. For the analysis, the DEA SolverPro software 15a version was used.

RESULTS

The results show that only 1 branch had been fully efficient in using the resources, while 5 branches showed less than 50% efficiency. This study reveals that it is unnecessary to use a fixed number of volunteers at different stations with different passenger numbers.

CONCLUSIONS

Using resources without efficient planning can lead to direct costs such as food, transportation, and maintenance, as well as indirect costs such as burnout, fatigue, and stress when responding to the COVID-19 pandemic. This analysis should support IRCS's managers to move their valuable resources from inefficient to efficient centers to increase the screening rate and reduce the fatigue of aid workers for the next pandemic rounds.

Perspectives: Evaluation of Older Adult Cochlear Implant Candidates for Fall Risk in a Developing Country Setting

Dizziness, vertigo, and falls are common in older adults. Data suggest that cochlear implant candidates are no different and could be argued to be at elevated risk due to the presence of hearing loss and likely vestibular involvement. Perspectives contextualizes current testing and screening paradigms for vestibular deficits and fall risk and suggests a protocol suitable for use in developing country settings.

Global Healthcare Resource Efficiency in the Management of COVID-19 Death and Infection Prevalence Rates

The scale of impact of the COVID-19 pandemic on society and the economy globally provides a strong incentive to thoroughly analyze the efficiency of healthcare systems in dealing with the current pandemic and to obtain lessons to prepare healthcare systems to be better prepared for future pandemics. In the absence of a proven vaccine or cure, non-pharmaceutical interventions including social distancing, testing and contact tracing, isolation, and wearing of masks are essential in the fight against the worldwide COVID-19 pandemic. We use data envelopment analysis and data compiled from Worldometers and The World Bank to analyze how efficient the use of resources were to stabilize the rate of infections and minimize death rates in the top 36 countries that represented 90% of global infections and deaths out of 220 countries as of November 11, 2020. This is the first paper to model the technical efficiency of countries in managing the COVID-19 pandemic by modeling death rates and infection rates as undesirable outputs using the approach developed by You and Yan. We find that the average efficiency of global healthcare systems in managing the pandemic is very low, with only six efficient systems out of a total of 36 under the variable returns to scale assumption. This finding suggests that, holding constant the size of their healthcare systems (because countries cannot alter the size of a healthcare system in the short run), most of the sample countries showed low levels of efficiency during this time of managing the pandemic; instead it is suspected that most countries literally "threw" resources at fighting the pandemic, thereby probably raising inefficiency through wasted resource use.

Training for Transformation: Opportunities and Challenges for Health Workforce Sustainability in Developing a Remote Clinical Training Platform

Background: In 2018, Stellenbosch University's Ukwanda Centre for Rural Health led a faculty initiative to expand undergraduate health professions training to a new site, 9 hours drive from the health sciences campus in the sparsely populated Northern Cape Province of South Africa in the town of Upington. This is part of a faculty strategy to extend undergraduate health sciences training into an under-resourced part of the country, where there is no medical school. During 2019, the first year of implementation, four final year medical students undertook a longitudinal integrated clerkship at this site, while final year students from other programmes undertook short 5-week rotations, with plans for extending rotations and including more disciplines in 2020. The aim of this study was to understand stakeholder perceptions regarding the development of Upington as a rural clinical training site and how this influenced existing services, workforce sustainability and health professions education.

Methods: An iterative thematic analysis of qualitative data collected from 55 participants between January and November 2019 was conducted as part of the case study. A constructivist approach to data collection was utilized to explore participants' perceptions, experiences and understanding of the new training site. Triangulation of data collection and reflexive thematic analysis contributed to the trustworthiness of the data and credibility of the findings.

Findings: The perceptions of three key groups of stakeholders are reported: (1) Dr. Harry Surtie Hospital and Academic Programme Managers; (2) Supervising and non-supervising clinical staff and (3) Students from three undergraduate programs of the Faculty. Five themes emerged regarding the development of the site. The themes include the process of development; the influence on the health service; workforce sustainability; a change in perspective and equipping a future workforce.

Discussion: This case study provides data to support the value of establishing a rural clinical training platform in a resource constrained environment. The influence of the expansion initiative on the current workforce speaks to the potential for improved capacity and competence in patient management with an impact on encouraging a rural oriented workforce. Using this case study to explore how the establishment of a new rural clinical training site is perceived to influence rural workforce sustainability and pathways, may have relevance to other institutions in similar settings. The degree of sustainability of the clinical training initiative is explored.

Integrating gestational diabetes and type 2 diabetes care into primary health care: Lessons from prevention of mother-to-child transmission of HIV in South Africa - A mixed methods study

BACKGROUND

Implementation of the programmes for the Prevention of Mother to Child Transmission (PMTCT) of Human Immunodeficiency Virus (HIV) into antenatal care over the last three decades could inform implementation of interventions for other health challenges such as gestational diabetes mellitus (GDM). This study assessed PMTCT outcomes, and how GDM screening, care, and type 2 diabetes (T2DM) prevention were integrated into PMTCT in Western Cape (WC), South Africa.

METHODS

A convergent mixed methods and triangulation design were used. Content and thematic analysis of PMTCT-related policy documents and of 30 semi-structured interviews with HIV/PMTCT experts, health care workers and women under PMTC diagnosed with GDM complement quantitative longitudinal analysis of PMTCT implementation indicators across the WC for 2012-2017.

RESULTS

Provincial PMTCT and Post Natal Care (PNC) documents emphasized the importance of PMTCT, but GDM screening and T2DM prevention were not covered. Data on women with both HIV and GDM were not available and GDM screening was not integrated into PMTCT. Women who attended HIV counselling and testing annually increased at 17.8% (95% CI: 12.9% - 22.0%), while women who delivered under PMTCT increased at 3.1% (95% CI: 0.6% - 5.9%) annually in the WC. All 30 respondents favour integrating GDM screening and T2DM prevention initiatives into PMTCT.

CONCLUSION

PMTCT programmes have not yet integrated GDM care. However, Western Cape PMTCT integration experience suggests that antenatal GDM screening and post-partum initiatives for preventing or delaying T2DM can be successfully integrated into PMTCT and primary care.